Sr Revenue Data Analyst

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Offered From the posting source checked Jun 20, 2026

Verification

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Salary

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401(k) match

Reported not verified - source not recorded; source URL not recorded; timestamp not recorded

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr Revenue Data Analyst Estero, FL, United States The Revenue Management Analytics Sr. Data Analyst is responsible for gathering, analyzing, and interpreting data to help improve revenue outcomes, gain a competitive edge over rivals, and provide actionable insights to the Analyst, Manager, and Senior Director teams. They will report to and work closely with their director to automate non-differentiated functions to improve the efficiency of the Revenue Management team and generate exception reporting to identify opportunities. The starting salary for this role is $80K; commensurate with experience. What You'll Do: Combine data science with day-to-day execution, helping to solve key problems in the process as well as providing solutions for current methods that lack critical data; work with analysts to identify the greatest areas of opportunity Explore data, formulate questions, and deliver insights back to business executives to be prioritized for further testing and exploration Recommend, craft, monitor, and report on the effectiveness of test actions in the marketplace. Communicate executable actions based on business and market trends for geographical areas as well as segments Utilize skills as a data storyteller, presenting insights with appropriate supporting detail Evaluate the accuracy of on-rent, rental, and return forecasts as well as generate new forecasts, utilizing the Cloud (AWS) and Databricks to ensure data is procured in real-time Automate the post-mortem process to determine strategy efficacy in key markets for major holidays/events. Identify best practices once enough data has been compiled Generate automated exception reporting to identify areas of revenue opportunity, quantify the

Read the full description at fa-evlf-saasfaprod1.fa.ocs.oraclecloud.com. FewerJobs shows a preview and links to the original posting.